stat_bin-using-bins-30-pick-better-value-with-binwidth

stat_bin-using-bins-30-pick-better-value-with-binwidth, This tutorial will teach you how to use R programming to alter the binwidth of the bars in a ggplot2 histogram.

Look at the supporting information below:

set.seed(123)
data <- data.frame(x = rnorm(1000))
head(data)

      x
1 -0.56047565
2 -0.23017749
3 1.55870831
4 0.07050839
5 0.12928774
6 1.71506499

Consider the previous table. It demonstrates the first six findings of our exemplifying data as well as the fact that there is just one column in our data.

In order to use the functions included in the package, we must install and load the ggplot2 package into RStudio:

install.packages("ggplot2")
library("ggplot2")

Next, we can extract our data:

ggplot(data, aes(x)) + geom_histogram(col = "#1b98e0")

When the previous R code was executed, the error message “‘stat_bin()’ using ‘bins = 30’ appeared. Choose a better value with ‘binwidth’. to the RStudio console is returned. This is a result of our not manually setting a binwidth.

I’ll then demonstrate how to accomplish that and get rid of this alert for you!

Example 1: Increasing the ggplot2 Histogram’s binwidth

To make the bars in a ggplot2 histogram wider, use the following R programming syntax.

The binwidth argument of the geom_histogram function can be used for this task as illustrated below:

ggplot(data, aes(x)) +
geom_histogram(col = "#1b98e0",
binwidth = 1)

Additionally, you may have seen the alert “‘stat_bin()’ using ‘bins = 30’. Choose a better value with ‘binwidth’. has vanished because we explicitly specified the binwidth option.

Example 2: Reduce the ggplot2 Histogram’s binwidth

Alternatively, we might narrow the binwidth to display more bars in our histogram.

To achieve this, we must lower the value we give the binwidth option.

ggplot(data, aes(x)) +
geom_histogram(col = "#1b98e0",
binwidth = 0.1)

Following the above R code’s execution, the ggplot2 histogram shown in Figure 3 was created.